





import argparse
from collections import defaultdict


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Optional[int]:
    SCREAMING_SNAKE_CASE__											=			f'''{file}_{class_name}_{test_name}'''
    done_test[_id] += 1

    with open(lowerCAmelCase_ ,							'''r'''	) as f:
        SCREAMING_SNAKE_CASE__											=			f.readlines()

    SCREAMING_SNAKE_CASE__											=			f'''class {class_name}('''
    SCREAMING_SNAKE_CASE__											=			f'''{4 * " "}def {test_name}('''
    SCREAMING_SNAKE_CASE__											=			f'''{8 * " "}{correct_line.split()[0]}'''
    SCREAMING_SNAKE_CASE__											=			f'''{1_6 * " "}{correct_line.split()[0]}'''
    SCREAMING_SNAKE_CASE__											=			False
    SCREAMING_SNAKE_CASE__											=			False
    SCREAMING_SNAKE_CASE__											=			False
    SCREAMING_SNAKE_CASE__											=			False
    SCREAMING_SNAKE_CASE__											=			0
    SCREAMING_SNAKE_CASE__											=			0

    SCREAMING_SNAKE_CASE__											=			[]
    for line in lines:
        if line.startswith(lowerCAmelCase_	):
            SCREAMING_SNAKE_CASE__											=			True
        elif in_class and line.startswith(lowerCAmelCase_	):
            SCREAMING_SNAKE_CASE__											=			True
        elif in_class and in_func and (line.startswith(lowerCAmelCase_	) or line.startswith(lowerCAmelCase_	)):
            SCREAMING_SNAKE_CASE__											=			len(line.split(correct_line.split()[0]	)[0]	)
            count += 1

            if count == done_test[_id]:
                SCREAMING_SNAKE_CASE__											=			True

        if in_class and in_func and in_line:
            if ")" not in line:
                continue
            else:
                SCREAMING_SNAKE_CASE__											=			True

        if in_class and in_func and in_line and insert_line:
            new_lines.append(f'''{spaces * " "}{correct_line}'''	)
            SCREAMING_SNAKE_CASE__											=			SCREAMING_SNAKE_CASE__											=			SCREAMING_SNAKE_CASE__											=			SCREAMING_SNAKE_CASE__											=			False
        else:
            new_lines.append(lowerCAmelCase_	)

    with open(lowerCAmelCase_ ,							'''w'''	) as f:
        for line in new_lines:
            f.write(lowerCAmelCase_	)


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_=None	)				->						Union[str, Any]:
    if fail is not None:
        with open(lowerCAmelCase_ ,							'''r'''	) as f:
            SCREAMING_SNAKE_CASE__											=			{l.strip() for l in f.readlines()}
    else:
        SCREAMING_SNAKE_CASE__											=			None

    with open(lowerCAmelCase_ ,							'''r'''	) as f:
        SCREAMING_SNAKE_CASE__											=			f.readlines()

    SCREAMING_SNAKE_CASE__											=			defaultdict(lowerCAmelCase_	)
    for line in correct_lines:
        SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			line.split(''';'''	)
        if test_failures is None or "::".join([file, class_name, test_name]	) in test_failures:
            overwrite_file(lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)


if __name__ == "__main__":
  _A					:				str				=			argparse.ArgumentParser()
  parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
  parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
  _A					:				Any				=			parser.parse_args()

  main(args.correct_filename, args.fail_filename)


"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a       :						List[Any]       		=		logging.get_logger(__name__)

a       :						str       		=		{
    '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/config.json''',
    '''umberto-commoncrawl-cased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'''
    ),
    '''umberto-wikipedia-uncased-v1''': (
        '''https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'''
    ),
}




class 		a_    (			_UpperCAmelCase						):
    a   :					Any			     =					'camembert'







    def __init__(      self      :							Dict  ,       __UpperCamelCase      :							Union[str, Any]=3_05_22  ,       __UpperCamelCase      :							Tuple=7_68  ,       __UpperCamelCase      :							Optional[Any]=12  ,       __UpperCamelCase      :							int=12  ,       __UpperCamelCase      :							int=30_72  ,       __UpperCamelCase      :							int="gelu"  ,       __UpperCamelCase      :							Dict=0.1  ,       __UpperCamelCase      :							Dict=0.1  ,       __UpperCamelCase      :							List[Any]=5_12  ,       __UpperCamelCase      :							Optional[int]=2  ,       __UpperCamelCase      :							Dict=0.0_2  ,       __UpperCamelCase      :							Optional[int]=1e-12  ,       __UpperCamelCase      :							Optional[Any]=1  ,       __UpperCamelCase      :							int=0  ,       __UpperCamelCase      :							Optional[int]=2  ,       __UpperCamelCase      :							Optional[int]="absolute"  ,       __UpperCamelCase      :							int=True  ,       __UpperCamelCase      :							Dict=None  ,       **__UpperCamelCase      :							List[str]  ,       )		->Union[str, Any]:






        '''simple docstring'''






        super().__init__(pad_token_id=__UpperCamelCase  ,       bos_token_id=__UpperCamelCase  ,       eos_token_id=__UpperCamelCase  ,       **__UpperCamelCase  )

        _UpperCAmelCase        = vocab_size
        _UpperCAmelCase        = hidden_size
        _UpperCAmelCase        = num_hidden_layers
        _UpperCAmelCase        = num_attention_heads
        _UpperCAmelCase        = hidden_act
        _UpperCAmelCase        = intermediate_size
        _UpperCAmelCase        = hidden_dropout_prob
        _UpperCAmelCase        = attention_probs_dropout_prob
        _UpperCAmelCase        = max_position_embeddings
        _UpperCAmelCase        = type_vocab_size
        _UpperCAmelCase        = initializer_range
        _UpperCAmelCase        = layer_norm_eps
        _UpperCAmelCase        = position_embedding_type
        _UpperCAmelCase        = use_cache
        _UpperCAmelCase        = classifier_dropout







class 		a_    (			_UpperCAmelCase						):







    @property
    def   _snake_case       (      self      :							Optional[int]  )		->Mapping[str, Mapping[int, str]]:






        '''simple docstring'''






        if self.task == "multiple-choice":
            _UpperCAmelCase        = {0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
            _UpperCAmelCase        = {0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ("""input_ids""", dynamic_axis),
                ("""attention_mask""", dynamic_axis),
            ]  )